Atlas Python Notebook - Energymeteorology

Name	Description
Orography_processing.ipynb	Processing functions for orography and satellite data. It serves as base for all the notebooks
ATLAS_solar-wind_download.ipynb	Functions to download Solar Atlas related variables from Copernicus Data Store.
ATLAS_solar_preprocessing.ipynb	Functions to pre-process Solar Atlas related variables for both models and stations datasets. It consists of temporal and spatial aggregating functions.
ATLAS_solar_downscaling.ipynb	First step downscaling functions. It uses model datasets to produce high-resolution output
ATLAS_solar_idw.ipynb	Inverse Distance Weighing application functions on station datasets. It serves as the base for the second step downscaling.
ATLAS_solar_scaling.ipynb	Second step downscaling function notebook. Datasets from downscaling and IDW are joined by applying the final step of the methodology. It also allows the save on disk functions.
ATLAS_solar_plot.ipynb	Visualization framework. It serves a function to visualize and save images.
ATLAS_solar-wind_download.ipynb	Functions to download Wind Atlas related variables from Copernicus Data Store.
ATLAS_wind_components_calculation.ipynb	Computing function for calculating Wind Speed and Direction from U and V components.
ATLAS_wind_preprocessing.ipynb	Functions to pre-process Wind Atlas related variables for both models and stations datasets. It consists of temporal and spatial aggregating functions.
ATLAS_wind_downscaling_10m.ipynb	First step downscaling functions. It uses model datasets to produce high-resolution output for 10m wind speed.
ATLAS_wind_downscaling_100m.ipynb	First step downscaling functions. It uses model datasets to produce high-resolution output for 100m wind speed.
ATLAS_wind_idw.ipynb	Inverse Distance Weighing application functions on station datasets. It serves as the base for the second step downscaling.
ATLAS_wind_scaling.ipynb	Second step downscaling function notebook. Datasets from downscaling and IDW are joined by applying the final step of the methodology. It also allows the save on disk functions. It works for both 10m and 100m wind speed and direction.
ATLAS_wind_plot.ipynb	Visualization framework. It serves a function to visualize and save images.
ATLAS_hydro_download.ipynb	Functions to download Hydro Atlas related variables from Copernicus Data Store.
ATLAS_hydro_preprocessing.ipynb	Functions to pre-process Hydro Atlas related variables for both models and stations datasets. It consists of temporal and spatial aggregating functions.
ATLAS_hydro_downscaling-only-reanalysis.ipynb	Downscaling functions. It uses only model datasets to produce high-resolution for river discharge.
ATLAS_hydro_inverse-distance-weighting.ipynb	Inverse Distance Weighing application functions on station datasets. It serves as the base for the second step downscaling.
ATLAS_hydro_downscaling-station-integration.ipynb	Downscaling functions. It uses both model datasets and station datasets to produce high-resolution for river discharge.
ATLAS_hydro_scaling_plots.ipynb	Visualization framework. It serves a function to visualize and save images.

Name

Description

Processing functions for orography and satellite data. It serves as base for all the notebooks

Functions to download Solar Atlas related variables from Copernicus Data Store.

Functions to pre-process Solar Atlas related variables for both models and stations datasets. It consists of temporal and spatial aggregating functions.

First step downscaling functions. It uses model datasets to produce high-resolution output

Inverse Distance Weighing application functions on station datasets. It serves as the base for the second step downscaling.

Second step downscaling function notebook. Datasets from downscaling and IDW are joined by applying the final step of the methodology. It also allows the save on disk functions.

Visualization framework. It serves a function to visualize and save images.

Functions to download Wind Atlas related variables from Copernicus Data Store.

Computing function for calculating Wind Speed and Direction from U and V components.

Functions to pre-process Wind Atlas related variables for both models and stations datasets. It consists of temporal and spatial aggregating functions.

First step downscaling functions. It uses model datasets to produce high-resolution output for 10m wind speed.

First step downscaling functions. It uses model datasets to produce high-resolution output for 100m wind speed.

Inverse Distance Weighing application functions on station datasets. It serves as the base for the second step downscaling.

Second step downscaling function notebook. Datasets from downscaling and IDW are joined by applying the final step of the methodology. It also allows the save on disk functions. It works for both 10m and 100m wind speed and direction.

Visualization framework. It serves a function to visualize and save images.

Functions to download Hydro Atlas related variables from Copernicus Data Store.

Functions to pre-process Hydro Atlas related variables for both models and stations datasets. It consists of temporal and spatial aggregating functions.

Downscaling functions. It uses only model datasets to produce high-resolution for river discharge.

Inverse Distance Weighing application functions on station datasets. It serves as the base for the second step downscaling.

Downscaling functions. It uses both model datasets and station datasets to produce high-resolution for river discharge.

Visualization framework. It serves a function to visualize and save images.